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ENMPC Versus PID Control Strategies Applied to a Quadcopter

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New Trends in Robot Control

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 270))

Abstract

Trajectory tracking is a necessary function for an unmanned aerial vehicle (UAV). In this context, we investigate in this chapter the path following problems for the quadcopter dynamic system, which is coupled, underactuated and highly nonlinear. We adopt the Newton–Euler approach to describe the quadcopter model. Two continuous time strategies of control are presented to solve this issue: the technique based on cascade proportional-integral-derivative (PID) controllers and the explicit nonlinear model predictive control (ENMPC) technique. A comparison through numerical simulations, between the performances resulting from these two control strategies in terms of helical trajectory tracking, shows that the ENMPC technique is more effectiveness than the technique based on the PID controllers.

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References

  1. Bouabdallah, S., Murrieri, P., Siegwart, R.: Design and control of an indoor micro quadrotor. In: IEEE International Conference on Robotics and Automation, Zurich, Switzerland, pp. 4393–4398 (2004)

    Google Scholar 

  2. Ganga, G., Dharmana, M.M.: MPC controller for trajectory tracking control of quadcopter. In: 2017 IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT), Sasthamcotta, Kollam, Kerala, India, pp. 1–6 (2017)

    Google Scholar 

  3. Hoffmann, G., Huang, H., Waslander, S., Tomlin, C.: Quadrotor helicopter flight dynamics and control: theory and experiment. In: AIAA Guidance, Navigation and Control Conference and Exhibit, Hilton Head, South Carolina, p. 6461 (2007)

    Google Scholar 

  4. Islam, M., Okasha, M., Idres, M.M.: Trajectory tracking in quadrotor platform by using PD controller and LQR control approach. In: IOP Conference Series: Materials Science and Engineering, Kuala Lumpur, Malaysia, pp. 1–7 (2017)

    Google Scholar 

  5. Lee, D., Kim, H.J., Sastry, S.: Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter. Int. J. Control Autom. Syst. 7, 419–428 (2009)

    Article  Google Scholar 

  6. Liu, C., Chen, W.H., Andrews, J.: Tracking control of small-scale helicopters using explicit nonlinear MPC augmented with disturbance observers. Control Eng. Pract. 20, 258–268 (2012)

    Article  Google Scholar 

  7. Liu, H., Li, D., Zuo, Z., Zhong, Y.: Robust three-loop trajectory tracking control for quadrotors with multiple uncertainties. IEEE Trans. Ind. Electron. 63, 2263–2274 (2016)

    Google Scholar 

  8. Raffo, G.V., Ortega, M.G., Rubio, F.R.: An integral predictive/nonlinear \(H_\infty \) control structure for a quadrotor helicopter. Automatica 46, 29–39 (2010)

    Google Scholar 

  9. Rios, H., Falcon, R., Gonzalez, O.A., Dzul, A.E.: Continuous sliding-modes control strategies for quad-rotor robust tracking: real-time application. IEEE Trans. Ind. Electron. (2018)

    Google Scholar 

  10. Yu, Y., Guo, Y., Pan, X., Sun, C.: Robust backstepping tracking control of uncertain MIMO nonlinear systems with application to quadrotor UAVs. In: International Conference on Information and Automation, Lijiang, China, pp. 2868–2873 (2015)

    Google Scholar 

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Correspondence to Nadia Miladi .

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Miladi, N., Ladhari, T., Said, S.H. (2020). ENMPC Versus PID Control Strategies Applied to a Quadcopter. In: Ghommam, J., Derbel, N., Zhu, Q. (eds) New Trends in Robot Control. Studies in Systems, Decision and Control, vol 270. Springer, Singapore. https://doi.org/10.1007/978-981-15-1819-5_16

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